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ORCIDScott Cheng-Hsin Yang
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2020 – today
- 2024
[i9]Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto:
Structured Evaluation of Synthetic Tabular Data. CoRR abs/2403.10424 (2024)- 2023
- [j2]Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui
, Patrick Shafto:
Human Variability and the Explore-Exploit Trade-Off in Recommendation. Cogn. Sci. 47(4) (2023) - 2022
- [c8]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
A Psychological Theory of Explainability. ICML 2022: 25007-25021 - [i8]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
A psychological theory of explainability. CoRR abs/2205.08452 (2022) - 2021
- [c7]Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto:
Inferring Knowledge from Behavior in Search-and-rescue Tasks. CogSci 2021 - [i7]Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto:
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR abs/2102.03919 (2021) - [i6]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. CoRR abs/2105.07508 (2021) - [i5]Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto:
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. CoRR abs/2106.04684 (2021) - [i4]Tomas Folke, Zhaobin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto:
Explainable AI for Natural Adversarial Images. CoRR abs/2106.09106 (2021) - 2020
- [c6]Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable Deep Gaussian Processes with Moments. AISTATS 2020: 613-623 - [c5]Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto:
Replicating L2 learning in a Computational Model. CogSci 2020
2010 – 2019
- 2019
- [j1]Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto:
A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. 11(2): 316-337 (2019) - [i3]Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable deep Gaussian processes. CoRR abs/1905.10963 (2019) - 2018
- [c4]Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto:
Optimal Cooperative Inference. AISTATS 2018: 376-385 - [c3]Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto:
Bayesian Teaching of Image Categories. CogSci 2018 - [i2]Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto:
Standing Wave Decomposition Gaussian Process. CoRR abs/1803.03666 (2018) - 2017
- [c2]Scott Cheng-Hsin Yang, Patrick Shafto:
Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. CogSci 2017 - [c1]Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto:
Unifying recommendation and active learning for human-algorithm interactions. CogSci 2017 - [i1]Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto:
Optimal Cooperative Inference. CoRR abs/1705.08971 (2017)
Coauthor Index
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